====== Vision ======

===== Color Quantization =====
== References ==
  - [[http://www.cs.cmu.edu/~trb/papers/wirevision00.pdf|Fast Impl. RGB/YUV/HSV [EN] ]]

=== RGB cone ===
=== YUV polygon ===
=== HSV rectangle ===
=== Lab ===


===== Image segmentation =====

=== Floodfill ===
== References ==
  - [[http://www.cs.cmu.edu/~trb/papers/wirevision00.pdf|Fast Impl. [EN] ]]
===Watershed===
==References==
  - [[http://cmm.ensmp.fr/~beucher/wtshed.html|Method [EN] ]] 
  - [[http://www.caip.rutgers.edu/~comanici/segm_images.html|Robust Impl. [EN] ]]

===== Filters =====
==References==
  - [[http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip.html|Image Processing Fundamentals [EN] ]]

====Anti-noise====
(smoothing)
==References==
  - [[http://www.csse.monash.edu.au/hons/projects/2002/Alexander.Wolf/pictures.html|Definitions [EN] ]]
  - [[http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-Smoothin.html|Definitions [EN] ]]
  
===Median Filter===
===Vector Median Filter===
===Kuwahara filter===
===Peer Group Filtering===
==References==
  - [[http://agni.ece.ucsb.edu/publications/99ISCAS.pdf|Definition [EN] ]]
===Anisotropic Filtering===

====Gradient====

===Prewitt===
==Objective==
Basic kernels for 1st order gradient.
==Quick Def==
Horizontal kernel (transpose for vertical) :
^-1^0^1^
^-1^**0**^1^
^-1^0^1^

===Roberts===
==Objective==

==Quick Def==
First kernel :
^1^0^
^0^-1^
Second kernel :
^0^1^
^-1^0^
Intensity :
''I = sqrt(I1^2 + I2^2)''

Direction :
''theta = arctan(I2 / I1) + pi/4''

===Sobel===
==Objective== 
Most popular 1st order kernels
==Quick Def==
Horizontal kernel (transpose for vertical) :
^-1^0^1^
^-2^**0**^2^
^-1^0^1^
Intensity :
''I = sqrt(Iv^2 + Ih^2)''

Direction :
''theta = arctan(Iv / Ih)''
==Full Def==
The filter can be seen as the convolution of two filters.

Derivative :
^-1^
^0^
^1^
Smoothing :
^1^2^1^

===Scharr===
==Objective== 
May give more accurate results than Sobel
==Quick Def==
Horizontal kernel (transpose for vertical) :
^-3^0^3^
^-10^**0**^10^
^-3^0^3^

===Laplace===
==Objective==
2nd order kernel
==Quick Def==
Kernel :
^0^1^0^
^1^**-4**^1^
^0^1^0^


====Morphological====
==References==
  - [[http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-Morpholo.html|Definitions [EN] ]]
===Dilation===
//Dilatation//
===Erosion===
//Erosion//
===Opening===
//Ouverture//
===Closing===
//Fermeture//

===== Edge detection =====

====Canny detector====
==Objective==
Best theoritical edge detector.
==Quick Def==
Noise filtering, gradient with horizontal vertical and diagonal kernels, thresholding with hysteresis taking into account the direction of the gradient.

===Canny-Deriche===